Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Computer science, Artificial intelligence, Perception, Human–computer interaction, Benchmark (surveying), and Anomaly detection.
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities
ERMVP: Communication-Efficient and Collaboration-Robust Multi-Vehicle Perception in Challenging Environments
AMP-Net: Appearance-Motion Prototype Network Assisted Automatic Video Anomaly Detection System
AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception
What2comm: Towards Communication-efficient Collaborative Perception via Feature Decoupling